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| Bayesian Structural Equation Modeling (BSEM)× | Bestätigende Faktorenanalyse (CFA)× | |
|---|---|---|
| Fachgebiet≠ | Bayes-Statistik | Statistik |
| Familie≠ | Bayesian methods | Latent structure |
| Entstehungsjahr≠ | 2012 | 1969 |
| Urheber≠ | Bengt Muthén & Tihomir Asparouhov | Karl Jöreskog |
| Typ≠ | Bayesian latent variable model | Confirmatory latent variable model |
| Wegweisende Quelle≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A More Flexible Representation of Substantive Theory. Psychological Methods, 17(3), 313–335. link ↗ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 |
| Aliasnamen≠ | BSEM, Bayesian latent variable model, approximate zero constraints SEM, Bayesçi Yapısal Eşitlik Modeli | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model |
| Verwandt≠ | 6 | 4 |
| Zusammenfassung≠ | Bayesian SEM, introduced by Muthén and Asparouhov in 2012, extends classical structural equation modeling by placing prior distributions on factor loadings, path coefficients, and covariances. Instead of returning a single maximum-likelihood estimate, it uses Markov chain Monte Carlo to produce a full posterior distribution for every parameter, enabling principled uncertainty quantification in models with latent variables. | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. |
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